OpenCredo

JULY 31, 2018

Machine Learning, alongside a mature Data Science, will help to bring IT and business closer together. By leveraging data for actionable insights, IT will increasingly drive business value. They operate under fundamentally different assumptions: the business generates value, whereas IT provides utility.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Data Continuous Delivery 40

Cloudera

DECEMBER 20, 2022

Organizations working in traditional energy generation will have to adjust costs by improving the efficiency of these plants. That’s where data comes in. McKinsey estimates that the use of data-driven technologies can drive operating and maintenance cost savings of more than 12%.

Energy 84

Energy Analytics Data Machine Learning 84

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Altexsoft

NOVEMBER 9, 2021

Accounts payable are most vulnerable to errors (whether deliberate or not) due to disconnected and inaccurate information, especially if you have to deal with a big amount of documentation and process multiple transactions. Manual operations and/or outdated technology aren’t able to provide the required visibility and support your decisions.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. As a result, alternative data integration technologies (e.g., These four capabilities together define the Enterprise Data Cloud.

Scalability 97

Scalability Data Technical Review Analytics 97

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. Technology and infrastructure costs . using list pricing of $0.72/hour

Cloud 86

Cloud Technical Review Storage Backup 86

Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

Cloud 109

Cloud Artificial Inteligence Generative AI Analytics 109

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. In this introductory article, I present an overarching framework that captures the benefits of CDP for technology and business stakeholders. Technology cost reduction / avoidance.

Data 83

Data Analytics Government Technical Review 83